An Ad Hoc Network Load Balancing Energy- Efficient Multipath Routing Protocol
|
|
- Harvey Fisher
- 8 years ago
- Views:
Transcription
1 246 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY 2014 An Ad Hoc Network oad alancng nergy- ffcent Multpath Routng Protocol De-jn Kong Shanx Fnance and Taxaton College, Tayuan, Chna mal: Xao-lng Yao Shanx Fnance and Taxaton College, Tayuan, Chna Abstract Multpath routng protocol establshes multple transmsson paths between source node and destnaton node, whch can not only transmt data n parallel, but also one as man path and others as backup paths. The paper proposed a multpath routng protocol P_ wth power controllng and load balancng based on. In order to mplement load balancng and prolong network lfetme, t allocates traffc bandwdth based on node remanng power and load status along the path. Approprate power s used to transmt data packets. As Ad hoc network s complcated and changeable, the proposed protocol conducts perodcal routng mantenance to adjust bandwdth allocaton of traffc n tme. Smulaton experment results show that the mproved P_ protocol acheves better performance n the aspects of load balancng and average node lfetme. Index Terms multpath routng, Ad hoc, power controllng, load balancng I. INTRODUCTION Ad hoc has not wreless nfrastructure, but runs n the manner of wreless mult-hop relay. For ts hgh flexblty, moblty, self-organzatons as well as access anytme and anywhere, Ad hoc has been wdely used n varous mltary and cvlan felds of emergency relef, smart communcatons, envronmental montorng and etc. Ad hoc routng protocol has several classfcaton methods. Accordng to transmsson path number between source node and destnaton node, t can be dvded nto sngle-path routng protocol and mult-path routng protocol. Sngle-path routng protocol means there s only one path between source and snk. Common sngle-path routng protocols nclude [1], DSR [2], OSR [3] and etc. The mult-path routng protocol establshes multple transmsson paths from source to destnaton, whch can not only be sued for data transmsson, but also one as man path and others as backup. The paper addressed to former stuaton. Typcal mult-path routng protocols nclude [4], SMR [5], MP-DSR [6], TP [7] and etc. Among them, s a knd of on-demand mult-path routng protocol expanded from, the man dea of whch s to buld multple ndependent paths between source node and destnaton node to mplement parallel transmsson of data. The paper brngs out a mult-path routng protocol wth power controllng and load balancng P_. Smlar as, P_ protocol should frstly establsh multple ndependent paths. Secondly, n order to balance node load and power as possble, t should allocate traffc among paths to acheve optmal traffc transmsson mode. Fnally, P_AODMV protocol needs to control sngle hop transmsson power to save precous energy. Among them, ndependence of mult-path s the frst problem to be solved, whch s also the premse to execute other traffc allocaton algorthms or QoS resource reservaton algorthms [8]. The paper s organzed as follows. Secton 2 gves establsh method of P_ ndependent path. Secton 3 ntroduces mplement strategy of protocol. Secton 4 desgns routng process of P_ n detal. Secton 5 performs smulaton experments and result analyss. Secton 6 concludes our work. Ⅱ. STAISHMNT OF P_ INDPNDNT PATHS The ndependence of path s very mportant to multpath routng. Stronger s ndependence of path, the network resource utlzaton can be more adequate and the node congeston probablty s lower. In the mult-path routng, ndependent paths can be dvded nto node dsjont paths and lnk dsjont paths [6]. Node dsjont path means there s not two same nodes n these paths. nk dsjont path refers to there s not same lnk along two paths. The paths not belong to these above two are un-dsjont. Generally, the number of node dsjont paths s less than that of lnk dsjont. However, the ndependence of node dsjont s better than that of lnk dsjont. Therefore, we try to establsh node dsjont path. Varous dsjont paths are shown from Fg. 1 to Fg. 3. Where, S s source node and D as the destnaton. The path SACD and SFG n Fg. 1 are node dsjont paths. The SACD and SFD n Fg. 2 are lnk dsjont paths. The SAD and SCD n Fg. 3 are un-dsjont paths. In the Ad hoc, f un-dsjont multpath are used for data transmsson, the nodes or lnks been commonly used by 2014 ACADMY PUISHR do: /jsw
2 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY paths can easly become a bottleneck, thus effect of traffc dvson cannot be acheved. If the common nodes faled, multple paths wll smultaneously breakng. S A C F Fgure 1. Node dsjont path S A C D F Fgure 2. nk dsjont path S A D C Fgure 3. Un-dsjont path In order to effectvely establsh multple node dsjont paths and avod consumng too much network resources, P_ ntroduce the followng theorem [9, 10]. Theorem 1: The path from source node S to destnaton D along all dfferent adjacent nodes of S s node dsjont. III. IMPMNTATION STRATGIS A. P_ Flow Dstrbuton Manner To mplement traffc balancng, routng protocol should perform traffc allocaton on bult multple paths. The traffc strategy n the paper s as followng. In the routng searchng, save bandwdth along the path and remanng power to routng reply packet. Source node computes traffc allocaton of each path based on these two parameters. Here we wll ntroduce computaton method of bandwdth and power as well as traffc allocaton strategy below. The dle tme of node n the channel s an mportant factor to measure effectve bandwdth, whch s comprehensvely determned by traffc of node and ts neghbors. Therefore, the effectve bandwdth can be computed as follows: () = T / T (1) avalable dle nt erval Where, avalable () s avalable bandwdth of node ; s mum transmsson bandwdth of node; T nterval s statstcs nterval; T dle s dle tme n channel statstcs. We also use lnear decreasng model to smoothen changes of bandwdth parameters: () = (1 α) ( 1) + α () (2) real real avalable Where, real () s real effectve bandwdth at tme ; real (-1) s the real bandwdth at tme -1; avalable () s D effectve bandwdth at tme accordng to (1); α s the adjustable weght n the nterval (0,1). Remanng power of nodes along the path has mportant effect on path lfelong. The computaton of energy bottleneck of path nodes should frstly obtan resdual energy of each node, whch can be drectly obtaned by checkng battery of nodes. As numercal level of avalable bandwdth and energy s magntude, the paper unfes metrc of resdual bandwdth and energy before path relablty computaton. Avalable bandwdth and energy were dvded nto eght dfferent levels. The hgher the level, the avalable resources are more abundant. The level of avalable bandwdth and energy are computed as follows: = floor(_ ( ) / ) (3) real = floor(_ ( ) / ) (4) real Where, and are level of node bandwdth and resdual energy; real () s resdual energy of node at tme ; s ntal node energy; _ s set 8; floor means floor functon been used. Assume the path from S to D s ( SS, 1, S2,, S,, Sj, D). The and are used to represent avalable and resdual energy of node S. The bandwdth _mn and energy bottleneck _mn can be obtaned: _mn = mn(, = 1, 2,, j) (5) _mn = mn(, = 1, 2,, j) (6) Assume source node S establshed k paths to destnaton node, relablty of the -th path s R = ( )/ hopcount. (7) _mn _mn Where, hopcount s hop number of the path. Allocate traffc on these k paths accordng to relablty, bandwdth of the -th path s: k = R / Rj (8) j= 1 It s worth notng dsorder of packets of mult-path n TCP flow transmsson [8]. We use dfferent method to process dfferent traffc. If some node needs to transmt UDP, t wll be dvded to be transmtted along dfferent paths, others beng backup.. P_ Transmt Power Control Ad hoc s a restrcted network. Once power energy of node s exhausted, t wll drectly affect mplementaton of network functons. In the case of no power-aware, packet s transmtted wth mum power. If power control s added n MAC and each hop be transted wth approprate power, node energy consumpton can be nevtably reduced. Meanwhle, as data packet transmsson range beng smaller, nterference among nodes also nevtable reduces. The messages n MAC can be broadly dvded nto broadcast massage and uncast message. P_ 2014 ACADMY PUISHR
3 248 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY 2014 protocol transmts broadcast message wth mum power and uncast message wth approprate power. For example, f node A and are neghbor nodes and A needs to transmt to, A sends RTS wth mum power P. After receved RTS from A, t wll send CTS wth P. When node A receved CTS, t computes data transmsson power P data_send accordng to recevng power P receve and transmttng power P. P P = P c (9) data _ send threshold P r eceve Where, P threshold s the necessary power for correctly recevng; c s a constant to prevent too small power to receve data, whch s generally set c>1. As P data_send s smaller than P, t can save data transmttng power by power controllng. IV. P_ ROUTING PROCSS A. Routng Dscovery In order to mplement node dsjont path and traffc controllng, we should frstly expand format of routng control packet and routng table package of protocol. Frstly, expand format of RRQ. Add next hop node address SN feld of source node n RRQ to record frst neghbor node address of source node. At the same tme, add bandwdth W feld and resdual energy fled to record bottleneck of forward routng. Secondly, expand routng table. Add source address SA, bandwdth W, resdual energy tems n routng table. Thrdly, destnaton node mantan node neghbor lst lst(sn) to record source node address SA and neghbor node address SN n RRQ. Add felds of W and n RRP to record reverse routng bottleneck. RRQ packet processng When node s needs to communcate but there s not avalable routng, t ntate routng dscovery process to broadcast routng request RRQ to all neghbors. The felds of W and n RRQ packet are ntaled values of source node. After ntermedate node receved RRQ packets, t determnes whether receved repeated packet wth same source address, destnaton address and request ID n source neghbor address feld SN n tme of path_traversal_tme. After all ntermedate nodes receved RRQ for frst tme, compare bandwdth and resdual energy of ths node wth W and n RRQ. If current value s smaller than that n packet, the node may become bottleneck. Update value of current node to RRQ packet. When ntermedate node receved request packet wth same destnaton address from dfferent source nodes, establsh dfferent routng tems for dfferent source nodes. Other routng update mechansm and forward mechansm of ntermedate node are same as that of. When destnaton node receved RRQ, t wll extract source address SA and neghbor address SN and determne whether SA and SN from packet n lst(sn). If so, drectly dscard the packet. Otherwse, add (SA, SN) nto lst(sn) and establsh reverse path wth source node. Send routng reply packet RRP to source node. As to same source node, P_ protocol at most establshes three paths. RRP packet processng The W and felds n RRP are used to record bottlenecks from current node to destnaton node, whch s dfferent from bottleneck to destnaton node. Therefore, the W and felds n RRP are ntalzed as value of destnaton node. The processng method of ntermedate node after receved RRP packet s substantally same as that of RRQ, namely compare bandwdth and resdual energy of ths node wth W and n RRP. If value of ths node s smaller than that n packet, update node value nto packet. Otherwse, do not update. All nodes receved RRP should establsh forward path for source node and record bandwdth and energy bottleneck to destnaton node. Then, t forwards RRP. After source node receved multple RRP, t extracts W and felds n order to establsh routng tems to destnaton node.. Routng Mantenance Process Ad hoc network has complex characterstcs. After source node traffc transmsson, nodes along transmsson paths may access new traffc or shft to regon wth poor bandwdth resources. andwdth and energy bottleneck of each path wll nevtable change as tme. If the source node stll allocate traffc accordng to stuaton n routng establshment, t s obvously very unreasonable. Therefore, P_ protocol added perodc routng mantenance on paths to fnd network congeston or node energy change n tme, so as to acheve bandwdth allocaton of traffc adjustment. P_ adds perodc routng mantenance process. In the routng dscovery phase, destnaton node bulds a tmer once recevng frst RRQ of source node. The tmer s responsble for perodc routng mantenance to ths source node. We call t as routng mantenance tmer. When the tmer expres, f ths path stll actve recently, destnaton node frstly add ID of ths node and then send RRP along multple paths to source nodes. After source node receved RRP, t updates W and nformaton of ths packet to routng table. In case of source node sendng packets to destnaton node n next tme, f allocates traffc n accordance wth new parameters. We uses destnaton node to mantan paths. The beneft s that overhead of destnaton node sendng path mantenance nformaton to source node drectly s less than source node send to destnaton and then return. However, t should ensure the path from source to destnaton s same as that from destnaton to source. Otherwse, the obtaned bandwdth and bottleneck s not real value along transmsson path. The references [11-13] have proved that the establshed path wth theorem 1 can meet above condtons. The processng on path falure of P_ s smlar to that of. After ntermedate node fnd path falure to destnaton node, t frstly send path falure message to source node and delete reverse paths to source 2014 ACADMY PUISHR
4 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY node. If upper hop of some ntermedate node to destnaton node, t send path falure message to source node and delete reverse paths to destnaton node. After source node and destnaton node along ths path receved message, delete path n routng table respectvely. Dfferent from, f there s avalable path to destnaton node n the routng table of source node, P_ does not perform route recovery operaton tll there s no avalable path from source to destnaton node. V.SIMUATION XPRIMNT AND RSUT ANAYSIS A. Smulaton Scenaro We desgned smulaton experment on P_ protocol wth NS-2.33 platform under nux operaton system. In the smulaton, the terran was set plane network of m m; node number 20; MAC protocol as I DCF; sgnal propagaton manner as dual-dameter ground reflecton model; node mum communcaton range as 250m; channel bandwdth 2Mbps. The ntal energy of all nodes was set same value. Data packet length s 512yte and smulaton tme as s. The constant UDP bt stream was used to smulate real-tme traffc and 8 connectons were ntated randomly. We select the followng performance parameters to evaluate algorthm. (1) Node number of energy exhausted. (2) Average lfespan of frst half dead nodes. (3) Control overhead. In order to valdate P_ performance, the paper smulated protocol and protocol wth same movng speed under same condtons. The protocol n experment s transmtted n parallel wth multple paths and at most three decle paths been establshed. Compared wth P_, the smulated protocol has not power controllng and traffc allocaton.. Result Analyss The relaton between dead node number and elapsed tme reflects unformty of the energy consumpton of each node. If the mage s steeper, t ndcates that lfe cycle of each node n the network has greater dfference and energy consumpton more uneven. On the contrary, f the mage s gentler, each node survval smaller the dfference between the consumpton of energy s more unform, network because the node energy s exhausted and the probablty of splttng the smaller. At the same tme, snce the node of the energy consumpton and the node load substantally proportonal, the node energy consumpton also reflects the degree of load balancng n the network, the node energy consumpton s more unform, and the network load s more balanced. Fg. 4, Fg. 5 and Fg. 6 show relatons between dead node number and elapsed tme at movng speed of 0m/s, 2m/s and 5m/s. After comparson, we can know that the curves of are relatvely steep. The curve of s slghtly better than that of, they are also very steep. It suggests that node energy consumpton of and has large dfference. The curve of P_ protocol s also on the top of that of and. Meanwhle, the P_ s relatvely smooth, whch ndcates node energy consumpton of P_ s more unform than and. We can also know from these three mages that P_ protocol can reach energy and load evenly at dfferent movng speed. lapsed tme/s 450 P_ Fgure 4. Relatonshp between dead node and elapsed tme at 0m/s lapsed tme/s 450 P_ Fgure 5. Relatonshp between dead node and elapsed tme at 2m/s lapsed tme/s P_ Fgure 6. Relatonshp between dead node and elapsed tme at 5m/s Fg. 7 shows average lfe of frst 10 dead nodes from experment n Fg. 4 to Fg. 6. Under dfferent movng speeds, average lfe of frst half dead nodes n P_ protocol delay 2%-5% than that of and, whle P_ prolongs 12%- 18% than, whch means P_ can also acheves energy savng wth power controllng ACADMY PUISHR
5 250 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY 2014 Average dead tme/s P_ Movng speed/m/s Fgure 7. Average lfe of frst 10 dead nodes Fg. 8 shows comparson of network overhead. As P_ adds bandwdth and energy parameters n routng packet as well as perodc network mantenance mechansm, the overhead of P_ s slghtly ncreased than, but stll less than that of. Seen from performance of energy and load balancng, the ncreased overhead s worthy. Routng overhead/% P_ Movng speed/m/s Fgure 8. Network overhead comparson VI.CONCUSION The paper mproved on protocol to brng out a mult-path routng protocol P_ wth power controllng and load balancng. It establshed multple node dsjont paths between source node and destnaton node to mplement parallel data transmsson. The protocol allocates bandwdth accordng to resdual energy and load bottleneck so that path load and resdual energy balanced roughly, so as to reduce probablty of falure caused by node energy exhausted and prolong overall connectvty. As Ad hoc s complex and volatle, the establshed path may shft to regon wth poor bandwdth resources and node bottleneck may change, P_ adds perodc routng mantenance to adjust bandwdth allocaton n real-tme. In addton, P_ protocol transmts data packets wth approprate energy n case of data transmsson to avod usng mum power and save node energy. Smulaton experment wth NS-2 shows that the mproved P_ protocol better network performance n aspects of load balancng and average node lfespan. In the next workng, we wll further analyze varous traffc allocaton algorthms to provde theoretcal bass for further mprovement. RFRNCS [1] Perkns C.., Royer. M., Ad-hoc on-demand dstance vector routng, Proceedngs of 1999 Second I Workshop on Moble Computng Systems and Applcatons (WMCSA 99), Feb 25-26, pp , [2] e Wang, an-fang Zhang, Yan-ta Shu, Mao Dong, Multpath source routng n wreless ad hoc networks, Proceedngs of 2000 Canadan Conference on lectrcal and Computer ngneerng, pp , [3] Jacquet P., Muhlethaler P., Clausen T., aout A., Qayyum A., Vennot., Optmzed lnk state routng protocol for ad hoc networks, Proceedngs of 2001 I Mult Topc Conference on Technology for the 2st Century (INMIC), pp.62-68, [4] Mateen W., Raza S., Uzm Z. A., aqa S., Adaptve mult-path on-demand routng n moble ad hoc networks, Proceedngs of ghth I Internatonal Symposum on Object-Orented Real-Tme Dstrbuted Computng, pp , [5] ee S. J., Gerla M., Splt multpath routng wth mally dsjont paths n ad hoc networks, Proceedngs of I Internatonal Conference on Communcatons (ICC 2001), pp , [6] Rashda Hashm, Qassm Nasr, Saad Harous, Adaptve Mult-path QoS Aware Dynamc Source Routng Protocol for Moble Ad-Hoc Network, Proceedngs of 2006 Innovatons n Informaton Technology, pp. 1-5, [7] eung R., J-le u, Poon., Chan A..C., ao-chun, MP-DSR: a QoS-aware mult-path dynamc source routng protocol for wreless ad-hoc networks, Proceedngs of 26th Annual I Conference on ocal Computer Networks, pp , [8] Shgang Chen, Nahrstedt K., Dstrbuted qualty-ofservce routng n ad hoc networks, I Journal on Selected Areas n Communcatons, vol.17, no.8, pp , [9] Cheng-yong u, a-yuan, Yang Xang, Research of Mult-Path Routng Protocol ased on Parallel Ant Colony Algorthm Optmzaton n Moble Ad Hoc Networks, Proceedngs of Ffth Internatonal Conference on Informaton Technology: New Generatons (ITNG 2008), pp , [10] Ramesh V., Subbaah P., Preemptve routng for moble Ad-hoc networks, Proceedngs of Internatonal Conference on Sustanable nergy and Intellgent Systems (SISCON 2011), pp , [11] Yang Qn, Wen Y.Y., Ang H.Y., Choon m Gwee, A routng protocol wth energy and traffc balance awareness n wreless ad hoc networks, Proceedngs of th Internatonal Conference on Informaton, Communcatons & Sgnal Processng, pp.1-5, [12] Yao-guo Wang, Jn u, Improvng TCP Performance of Moble Ad hoc Networks by ack-up Mult-path Routng, Journal of Convergence Informaton Technology, vol. 7, no. 23, pp , [13] Ru Yang, Yng Song, Gu Chao, ao-ln Sun, nergy ntropy-aware Multpath Routng Algorthm n MANT, Internatonal Journal of Advancements n Computng Technology, vol. 4, no. 15, pp , ACADMY PUISHR
PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign
PAS: A Packet Accountng System to Lmt the Effects of DoS & DDoS Debsh Fesehaye & Klara Naherstedt Unversty of Illnos-Urbana Champagn DoS and DDoS DDoS attacks are ncreasng threats to our dgtal world. Exstng
More informationA Novel Adaptive Load Balancing Routing Algorithm in Ad hoc Networks
Journal of Convergence Informaton Technology A Novel Adaptve Load Balancng Routng Algorthm n Ad hoc Networks Zhu Bn, Zeng Xao-png, Xong Xan-sheng, Chen Qan, Fan Wen-yan, We Geng College of Communcaton
More informationLAMOR: Lifetime-Aware Multipath Optimized Routing Algorithm for Video Transmission over Ad Hoc Networks
LAMOR: Lfetme-Aware Multpath Optmzed Routng Algorthm for Vdeo ransmsson over Ad Hoc Networks 1 Lansheng an, Lng Xe, Kng-m Ko, Mng Le and Moshe Zukerman Abstract Multpath routng s a key technque to support
More informationAn Interest-Oriented Network Evolution Mechanism for Online Communities
An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationdenote the location of a node, and suppose node X . This transmission causes a successful reception by node X for any other node
Fnal Report of EE359 Class Proect Throughput and Delay n Wreless Ad Hoc Networs Changhua He changhua@stanford.edu Abstract: Networ throughput and pacet delay are the two most mportant parameters to evaluate
More informationAn Adaptive and Distributed Clustering Scheme for Wireless Sensor Networks
2007 Internatonal Conference on Convergence Informaton Technology An Adaptve and Dstrbuted Clusterng Scheme for Wreless Sensor Networs Xnguo Wang, Xnmng Zhang, Guolang Chen, Shuang Tan Department of Computer
More informationReinforcement Learning for Quality of Service in Mobile Ad Hoc Network (MANET)
Renforcement Learnng for Qualty of Servce n Moble Ad Hoc Network (MANET) *T.KUMANAN AND **K.DURAISWAMY *Meenaksh College of Engneerng West K.K Nagar, Cheena-78 **Dean/academc,K.S.R College of Technology,Truchengode
More informationINVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS
21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS
More informationMinimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures
Mnmal Codng Network Wth Combnatoral Structure For Instantaneous Recovery From Edge Falures Ashly Joseph 1, Mr.M.Sadsh Sendl 2, Dr.S.Karthk 3 1 Fnal Year ME CSE Student Department of Computer Scence Engneerng
More informationCooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing
Cooperatve Load Balancng n IEEE 82.11 Networks wth Cell Breathng Eduard Garca Rafael Vdal Josep Paradells Wreless Networks Group - Techncal Unversty of Catalona (UPC) {eduardg, rvdal, teljpa}@entel.upc.edu;
More informationA 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks
: An Adaptve, Anycast MAC Protocol for Wreless Sensor Networks Hwee-Xan Tan and Mun Choon Chan Department of Computer Scence, School of Computng, Natonal Unversty of Sngapore {hweexan, chanmc}@comp.nus.edu.sg
More informationNetwork Security Situation Evaluation Method for Distributed Denial of Service
Network Securty Stuaton Evaluaton Method for Dstrbuted Denal of Servce Jn Q,2, Cu YMn,2, Huang MnHuan,2, Kuang XaoHu,2, TangHong,2 ) Scence and Technology on Informaton System Securty Laboratory, Bejng,
More informationtaposh_kuet20@yahoo.comcsedchan@cityu.edu.hk rajib_csedept@yahoo.co.uk, alam_shihabul@yahoo.com
G. G. Md. Nawaz Al 1,2, Rajb Chakraborty 2, Md. Shhabul Alam 2 and Edward Chan 1 1 Cty Unversty of Hong Kong, Hong Kong, Chna taposh_kuet20@yahoo.comcsedchan@ctyu.edu.hk 2 Khulna Unversty of Engneerng
More informationM3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS
M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS Bogdan Cubotaru, Gabrel-Mro Muntean Performance Engneerng Laboratory, RINCE School of Electronc Engneerng Dubln Cty
More informationEnabling P2P One-view Multi-party Video Conferencing
Enablng P2P One-vew Mult-party Vdeo Conferencng Yongxang Zhao, Yong Lu, Changja Chen, and JanYn Zhang Abstract Mult-Party Vdeo Conferencng (MPVC) facltates realtme group nteracton between users. Whle P2P
More informationA Dynamic Load Balancing for Massive Multiplayer Online Game Server
A Dynamc Load Balancng for Massve Multplayer Onlne Game Server Jungyoul Lm, Jaeyong Chung, Jnryong Km and Kwanghyun Shm Dgtal Content Research Dvson Electroncs and Telecommuncatons Research Insttute Daejeon,
More informationSPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
: A Stateless Protocol for Real-Tme Communcaton n Sensor Networks Tan He a John A Stankovc a Chenyang Lu b Tarek Abdelzaher a a Department of Computer Scence b Department of Computer Scence & Engneerng
More informationA Passive Network Measurement-based Traffic Control Algorithm in Gateway of. P2P Systems
roceedngs of the 7th World Congress The Internatonal Federaton of Automatc Control A assve Network Measurement-based Traffc Control Algorthm n Gateway of 2 Systems Ybo Jang, Weje Chen, Janwe Zheng, Wanlang
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationResearch Article QoS and Energy Aware Cooperative Routing Protocol for Wildfire Monitoring Wireless Sensor Networks
The Scentfc World Journal Volume 3, Artcle ID 43796, pages http://dx.do.org/.55/3/43796 Research Artcle QoS and Energy Aware Cooperatve Routng Protocol for Wldfre Montorng Wreless Sensor Networks Mohamed
More informationPriv-Code: Preserving Privacy Against Traffic Analysis through Network Coding for Multihop Wireless Networks
Prv-Code: Preservng Prvacy Aganst Traffc Analyss through Networ Codng for Multhop Wreless Networs Zhguo Wan, Ka Xng, Yunhao Lu MOE Key Lab for Informaton System Securty, School of Software, Tsnghua Natonal
More informationEnergy Conserving Routing in Wireless Ad-hoc Networks
Energy Conservng Routng n Wreless Ad-hoc Networks Jae-Hwan Chang and Leandros Tassulas Department of Electrcal and Computer Engneerng & Insttute for Systems Research Unversty of Maryland at College ark
More informationAnalysis of Energy-Conserving Access Protocols for Wireless Identification Networks
From the Proceedngs of Internatonal Conference on Telecommuncaton Systems (ITC-97), March 2-23, 1997. 1 Analyss of Energy-Conservng Access Protocols for Wreless Identfcaton etworks Imrch Chlamtac a, Chara
More informationA New Paradigm for Load Balancing in Wireless Mesh Networks
A New Paradgm for Load Balancng n Wreless Mesh Networks Abstract: Obtanng maxmum throughput across a network or a mesh through optmal load balancng s known to be an NP-hard problem. Desgnng effcent load
More informationOpen Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1
Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,
More informationVRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.
VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual
More informationA Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing
A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure
More informationVoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays
VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty
More informationQOS DISTRIBUTION MONITORING FOR PERFORMANCE MANAGEMENT IN MULTIMEDIA NETWORKS
QOS DISTRIBUTION MONITORING FOR PERFORMANCE MANAGEMENT IN MULTIMEDIA NETWORKS Yumng Jang, Chen-Khong Tham, Ch-Chung Ko Department Electrcal Engneerng Natonal Unversty Sngapore 119260 Sngapore Emal: {engp7450,
More informationFair Virtual Bandwidth Allocation Model in Virtual Data Centers
Far Vrtual Bandwdth Allocaton Model n Vrtual Data Centers Yng Yuan, Cu-rong Wang, Cong Wang School of Informaton Scence and Engneerng ortheastern Unversty Shenyang, Chna School of Computer and Communcaton
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems
More informationAn Efficient Recovery Algorithm for Coverage Hole in WSNs
An Effcent Recover Algorthm for Coverage Hole n WSNs Song Ja 1,*, Wang Balng 1, Peng Xuan 1 School of Informaton an Electrcal Engneerng Harbn Insttute of Technolog at Weha, Shanong, Chna Automatc Test
More informationAPPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT
APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho
More informationOn File Delay Minimization for Content Uploading to Media Cloud via Collaborative Wireless Network
On Fle Delay Mnmzaton for Content Uploadng to Meda Cloud va Collaboratve Wreless Network Ge Zhang and Yonggang Wen School of Computer Engneerng Nanyang Technologcal Unversty Sngapore Emal: {zh0001ge, ygwen}@ntu.edu.sg
More informationEfficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing
Effcent Bandwdth Management n Broadband Wreless Access Systems Usng CAC-based Dynamc Prcng Bader Al-Manthar, Ndal Nasser 2, Najah Abu Al 3, Hossam Hassanen Telecommuncatons Research Laboratory School of
More informationA Load-Balancing Algorithm for Cluster-based Multi-core Web Servers
Journal of Computatonal Informaton Systems 7: 13 (2011) 4740-4747 Avalable at http://www.jofcs.com A Load-Balancng Algorthm for Cluster-based Mult-core Web Servers Guohua YOU, Yng ZHAO College of Informaton
More informationSelf-Motivated Relay Selection for a Generalized Power Line Monitoring Network
Self-Motvated Relay Selecton for a Generalzed Power Lne Montorng Network Jose Cordova and Xn Wang 1, Dong-Lang Xe 2, Le Zuo 3 1 Department of Electrcal and Computer Engneerng, State Unversty of New York
More informationDISTRIBUTED storage systems have been becoming increasingly
268 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 28, NO. 2, FEBRUARY 2010 Cooperatve Recovery of Dstrbuted Storage Systems from Multple Losses wth Network Codng Yuchong Hu, Ynlong Xu, Xaozhao
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationA probabilistic approach for predictive congestion control in wireless sensor networks
Anne Uthra et al. / J Zhejang Unv-Sc C (Comput & Electron) 214 15(3):187-199 187 Journal of Zhejang Unversty-SCIENCE C (Computers & Electroncs) ISSN 1869-1951 (Prnt); ISSN 1869-196X (Onlne) www.zju.edu.cn/jzus;
More informationResearch of Network System Reconfigurable Model Based on the Finite State Automation
JOURNAL OF NETWORKS, VOL., NO. 5, MAY 24 237 Research of Network System Reconfgurable Model Based on the Fnte State Automaton Shenghan Zhou and Wenbng Chang School of Relablty and System Engneerng, Behang
More informationResearch of concurrency control protocol based on the main memory database
Research of concurrency control protocol based on the man memory database Abstract Yonghua Zhang * Shjazhuang Unversty of economcs, Shjazhuang, Shjazhuang, Chna Receved 1 October 2014, www.cmnt.lv The
More informationQoS-Aware Active Queue Management for Multimedia Services over the Internet
QoS-Aware Actve Queue Management for Multmeda Servces over the Internet I-Shyan Hwang, *Bor-Junn Hwang, Pen-Mng Chang, Cheng-Yu Wang Abstract Recently, the multmeda servces such as IPTV, vdeo conference
More informationPerformance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application
Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,
More informationPerformance modeling and analysis of mobile Internet access via cellular networks
Performance modelng and analyss of moble Internet access va cellular networks Master s thess Author: Taoyng Yuan Emal: tyuan@few.vu.nl Student ID: #1430610 Unversty: Supervsors: Vrje Unverstet Amsterdam
More informationJoint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network
288 FENG LI, LINA GENG, SHIHUA ZHU, JOINT DYNAMIC RADIO RESOURCE ALLOCATION AND MOBILITY LOAD BALANCING Jont Dynamc Rado Resource Allocaton and Moblty Load Balancng n 3GPP LTE Mult-Cell Networ Feng LI,
More informationCloud-based Social Application Deployment using Local Processing and Global Distribution
Cloud-based Socal Applcaton Deployment usng Local Processng and Global Dstrbuton Zh Wang *, Baochun L, Lfeng Sun *, and Shqang Yang * * Bejng Key Laboratory of Networked Multmeda Department of Computer
More informationData Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,
More informationA New Quality of Service Metric for Hard/Soft Real-Time Applications
A New Qualty of Servce Metrc for Hard/Soft Real-Tme Applcatons Shaoxong Hua and Gang Qu Electrcal and Computer Engneerng Department and Insttute of Advanced Computer Study Unversty of Maryland, College
More informationLuby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
More informationFault tolerance in cloud technologies presented as a service
Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance
More informationA GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS
A GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS Shanthy Menezes 1 and S. Venkatesan 2 1 Department of Computer Scence, Unversty of Texas at Dallas, Rchardson, TX, USA 1 shanthy.menezes@student.utdallas.edu
More informationCheckng and Testng in Nokia RMS Process
An Integrated Schedulng Mechansm for Fault-Tolerant Modular Avoncs Systems Yann-Hang Lee Mohamed Youns Jeff Zhou CISE Department Unversty of Florda Ganesvlle, FL 326 yhlee@cse.ufl.edu Advanced System Technology
More informationA High-confidence Cyber-Physical Alarm System: Design and Implementation
A Hgh-confdence Cyber-Physcal Alarm System: Desgn and Implementaton Longhua Ma 1,2, Tengka Yuan 1, Feng Xa 3, Mng Xu 1, Jun Yao 1, Meng Shao 4 1 Department of Control Scence and Engneerng, Zhejang Unversty,
More informationAn Adaptive Cross-layer Bandwidth Scheduling Strategy for the Speed-Sensitive Strategy in Hierarchical Cellular Networks
An Adaptve Cross-layer Bandwdth Schedulng Strategy for the Speed-Senstve Strategy n erarchcal Cellular Networks Jong-Shn Chen #1, Me-Wen #2 Department of Informaton and Communcaton Engneerng ChaoYang Unversty
More informationMaster s Thesis. Configuring robust virtual wireless sensor networks for Internet of Things inspired by brain functional networks
Master s Thess Ttle Confgurng robust vrtual wreless sensor networks for Internet of Thngs nspred by bran functonal networks Supervsor Professor Masayuk Murata Author Shnya Toyonaga February 10th, 2014
More informationA Novel Problem-solving Metric for Future Internet Routing Based on Virtualization and Cloud-computing
www.ijcsi.org 159 A Novel Problem-solvng Metrc for Future Internet Routng Based on Vrtualzaton and Cloud-computng Rujuan Zheng, Mngchuan Zhang, Qngtao Wu, Wangyang We and Haxa Zhao Electronc & Informaton
More informationNetwork Aware Load-Balancing via Parallel VM Migration for Data Centers
Network Aware Load-Balancng va Parallel VM Mgraton for Data Centers Kun-Tng Chen 2, Chen Chen 12, Po-Hsang Wang 2 1 Informaton Technology Servce Center, 2 Department of Computer Scence Natonal Chao Tung
More informationConferencing protocols and Petri net analysis
Conferencng protocols and Petr net analyss E. ANTONIDAKIS Department of Electroncs, Technologcal Educatonal Insttute of Crete, GREECE ena@chana.tecrete.gr Abstract: Durng a computer conference, users desre
More informationIMPACT ANALYSIS OF A CELLULAR PHONE
4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng
More informationA Secure Password-Authenticated Key Agreement Using Smart Cards
A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,
More informationEVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP. Kun-chan Lan and Tsung-hsun Wu
EVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP Kun-chan Lan and Tsung-hsun Wu Natonal Cheng Kung Unversty klan@cse.ncku.edu.tw, ryan@cse.ncku.edu.tw ABSTRACT Voce over IP (VoIP) s one of
More informationRESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.
ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract
More informationTRM-IoT: A Trust Management Model Based on Fuzzy Reputation for Internet of Things
DOI: 10.2298/CSIS110303056C TRM-IoT: A Trust Management Model Based on Fuzzy Reputaton for Internet of Thngs Dong Chen 1, Guran Chang 2, Dawe Sun 1, Jaa L 1, Je Ja 1, and Xngwe Wang 1 1 College of Informaton
More informationRelay Secrecy in Wireless Networks with Eavesdropper
Relay Secrecy n Wreless Networks wth Eavesdropper Parvathnathan Venktasubramanam, Tng He and Lang Tong School of Electrcal and Computer Engneerng Cornell Unversty, Ithaca, NY 14853 Emal : {pv45, th255,
More informationA Dynamic Load Balancing Algorithm in Heterogeneous Network
06 7th Internatonal Conference on Intellgent Systems Modellng and Smulaton A Dynamc Load Balancng Algorthm n Heterogeneous etwork Zhxong Dng Xngjun Wang and Wenmng Yang Shenzhen Key Lab of Informaton Securty
More informationSchedulability Bound of Weighted Round Robin Schedulers for Hard Real-Time Systems
Schedulablty Bound of Weghted Round Robn Schedulers for Hard Real-Tme Systems Janja Wu, Jyh-Charn Lu, and We Zhao Department of Computer Scence, Texas A&M Unversty {janjaw, lu, zhao}@cs.tamu.edu Abstract
More informationA hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm
Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel
More informationAvailability-Based Path Selection and Network Vulnerability Assessment
Avalablty-Based Path Selecton and Network Vulnerablty Assessment Song Yang, Stojan Trajanovsk and Fernando A. Kupers Delft Unversty of Technology, The Netherlands {S.Yang, S.Trajanovsk, F.A.Kupers}@tudelft.nl
More informationAn RFID Distance Bounding Protocol
An RFID Dstance Boundng Protocol Gerhard P. Hancke and Markus G. Kuhn May 22, 2006 An RFID Dstance Boundng Protocol p. 1 Dstance boundng Verfer d Prover Places an upper bound on physcal dstance Does not
More informationEnergy Efficient Coverage Optimization in Wireless Sensor Networks based on Genetic Algorithm
Unversal Journal of Communcatons and Network 3(4): 82-88, 2015 DOI: 10.13189/ujcn.2015.030402 http://www.hrpub.org Energy Effcent Coverage Optmzaton n Wreless Sensor Networks based on Genetc Algorthm Al
More informationA Performance Analysis of View Maintenance Techniques for Data Warehouses
A Performance Analyss of Vew Mantenance Technques for Data Warehouses Xng Wang Dell Computer Corporaton Round Roc, Texas Le Gruenwald The nversty of Olahoma School of Computer Scence orman, OK 739 Guangtao
More informationA role based access in a hierarchical sensor network architecture to provide multilevel security
1 A role based access n a herarchcal sensor network archtecture to provde multlevel securty Bswajt Panja a Sanjay Kumar Madra b and Bharat Bhargava c a Department of Computer Scenc Morehead State Unversty
More informationForecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network
700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School
More informationA DATA MINING APPLICATION IN A STUDENT DATABASE
JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (53-57) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng Büyükbakkalköy-Istanbul
More informationHow To Solve An Onlne Control Polcy On A Vrtualzed Data Center
Dynamc Resource Allocaton and Power Management n Vrtualzed Data Centers Rahul Urgaonkar, Ulas C. Kozat, Ken Igarash, Mchael J. Neely urgaonka@usc.edu, {kozat, garash}@docomolabs-usa.com, mjneely@usc.edu
More informationWireless Inter-Session Network Coding - An Approach Using Virtual Multicasts
Wreless Inter-Sesson Network Codng - An Approach Usng Vrtual Multcasts Mchael Hendlmaer,DesmondS.Lun,DanalTraskov,andMurelMédard Insttute for Communcatons Engneerng CCIB RLE Technsche Unverstät München
More informationA New Task Scheduling Algorithm Based on Improved Genetic Algorithm
A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng Envronment Congcong Xong, Long Feng, Lxan Chen A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationEfficient On-Demand Data Service Delivery to High-Speed Trains in Cellular/Infostation Integrated Networks
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. XX, NO. XX, MONTH 2XX 1 Effcent On-Demand Data Servce Delvery to Hgh-Speed Trans n Cellular/Infostaton Integrated Networks Hao Lang, Student Member,
More informationDynamic Fleet Management for Cybercars
Proceedngs of the IEEE ITSC 2006 2006 IEEE Intellgent Transportaton Systems Conference Toronto, Canada, September 17-20, 2006 TC7.5 Dynamc Fleet Management for Cybercars Fenghu. Wang, Mng. Yang, Ruqng.
More informationA Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture
A Desgn Method of Hgh-avalablty and Low-optcal-loss Optcal Aggregaton Network Archtecture Takehro Sato, Kuntaka Ashzawa, Kazumasa Tokuhash, Dasuke Ish, Satoru Okamoto and Naoak Yamanaka Dept. of Informaton
More informationApplication of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems
1 Applcaton of Mult-Agents for Fault Detecton and Reconfguraton of Power Dstrbuton Systems K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senor Member, IEEE, J. La, A. Felach, Senor Member, IEEE Abstract--The
More informationSangam - Efficient Cellular-WiFi CDN-P2P Group Framework for File Sharing Service
Sangam - Effcent Cellular-WF CDN-P2P Group Framework for Fle Sharng Servce Anjal Srdhar Unversty of Illnos, Urbana-Champagn Urbana, USA srdhar3@llnos.edu Klara Nahrstedt Unversty of Illnos, Urbana-Champagn
More informationAutomated information technology for ionosphere monitoring of low-orbit navigation satellite signals
Automated nformaton technology for onosphere montorng of low-orbt navgaton satellte sgnals Alexander Romanov, Sergey Trusov and Alexey Romanov Federal State Untary Enterprse Russan Insttute of Space Devce
More informationStudy on Model of Risks Assessment of Standard Operation in Rural Power Network
Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,
More informationivoip: an Intelligent Bandwidth Management Scheme for VoIP in WLANs
VoIP: an Intellgent Bandwdth Management Scheme for VoIP n WLANs Zhenhu Yuan and Gabrel-Mro Muntean Abstract Voce over Internet Protocol (VoIP) has been wdely used by many moble consumer devces n IEEE 802.11
More informationCHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL
More informationNetwork Services Definition and Deployment in a Differentiated Services Architecture
etwork Servces Defnton and Deployment n a Dfferentated Servces Archtecture E. kolouzou, S. Manats, P. Sampatakos,. Tsetsekas, I. S. Veners atonal Techncal Unversty of Athens, Department of Electrcal and
More informationImplementation of Deutsch's Algorithm Using Mathcad
Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"
More informationOptimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm
Internatonal Journal of Grd Dstrbuton Computng, pp.175-190 http://dx.do.org/10.14257/gdc.2014.7.6.14 Optmzaton odel of Relable Data Storage n Cloud Envronment Usng Genetc Algorthm Feng Lu 1,2,3, Hatao
More informationA Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
A Cluster Based Replcaton Archtecture for Load Balancng n Peer-to-Peer Content Dstrbuton S.Ayyasamy 1 and S.N. Svanandam 2 1 Asst. Professor, Department of Informaton Technology, Tamlnadu College of Engneerng
More informationParallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion
212 Thrd Internatonal Conference on Networkng and Computng Parallel Numercal Smulaton of Vsual Neurons for Analyss of Optcal Illuson Akra Egashra, Shunj Satoh, Hdetsugu Ire and Tsutomu Yoshnaga Graduate
More informationLoad Balancing Algorithm of Switched Dynamic Iteration
Send Orders for Reprnts to reprnts@benthamscence.ae 236 The Open Cybernetcs Systemcs Journal, 2015, 9, 236-242 Load Balancng Algorthm of Swtched Dynamc Iteraton Open Access Chen Yansheng 1,3,* Wu Zhongkun
More informationEnd-to-end measurements of GPRS-EDGE networks have
End-to-end measurements over GPRS-EDGE networks Juan Andrés Negrera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo, Uruguay Javer Perera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo,
More informationAn agent architecture for network support of distributed simulation systems
An agent archtecture for network support of dstrbuted smulaton systems Robert Smon, Mark Pullen and Woan Sun Chang Department of Computer Scence George Mason Unversty Farfax, VA, 22032 U.S.A. smon, mpullen,
More informationPerformance Analysis and Comparison of QoS Provisioning Mechanisms for CBR Traffic in Noisy IEEE 802.11e WLANs Environments
Tamkang Journal of Scence and Engneerng, Vol. 12, No. 2, pp. 143149 (2008) 143 Performance Analyss and Comparson of QoS Provsonng Mechansms for CBR Traffc n Nosy IEEE 802.11e WLANs Envronments Der-Junn
More informationECE544NA Final Project: Robust Machine Learning Hardware via Classifier Ensemble
1 ECE544NA Fnal Project: Robust Machne Learnng Hardware va Classfer Ensemble Sa Zhang, szhang12@llnos.edu Dept. of Electr. & Comput. Eng., Unv. of Illnos at Urbana-Champagn, Urbana, IL, USA Abstract In
More informationAn Integrated Dynamic Resource Scheduling Framework in On-Demand Clouds *
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 30, 1537-1552 (2014) An Integrated Dynamc Resource Schedulng Framework n On-Demand Clouds * College of Computer Scence and Technology Zhejang Unversty Hangzhou,
More information